Copertina

Exploiting the Final Component of Generator Architectures for AI-Generated Image Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Yanzhu, Liu, Xiao, Wang, Yuexuan, Soumik, Mondal
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Few-Shot Learner Generalizes Across AI-Generated Image Detection
di: Wu, Shiyu, et al.
Pubblicazione: (2025)

Generalizable AI-Generated Image Detection Based on Fractal Self-Similarity in the Spectrum
di: Xiao, Shengpeng, et al.
Pubblicazione: (2025)

Leveraging Arbitrary Data Sources for AI-Generated Image Detection Without Sacrificing Generalization
di: He, Qinghui, et al.
Pubblicazione: (2026)

Scaling Up AI-Generated Image Detection with Generator-Aware Prototypes
di: Qin, Ziheng, et al.
Pubblicazione: (2025)

Combating Pattern and Content Bias: Adversarial Feature Learning for Generalized AI-Generated Image Detection
di: Zhang, Haifeng, et al.
Pubblicazione: (2026)

Mixture of Low-rank Experts for Transferable AI-Generated Image Detection
di: Liu, Zihan, et al.
Pubblicazione: (2024)

Exploiting Discriminative Codebook Prior for Autoregressive Image Generation
di: Tang, Longxiang, et al.
Pubblicazione: (2025)

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
di: Yan, Zhiyuan, et al.
Pubblicazione: (2024)

A Labeled Ophthalmic Ultrasound Dataset with Medical Report Generation Based on Cross-modal Deep Learning
di: Wang, Jing, et al.
Pubblicazione: (2024)

No Pixel Left Behind: A Detail-Preserving Architecture for Robust High-Resolution AI-Generated Image Detection
di: Mu, Lianrui, et al.
Pubblicazione: (2025)

Explainable AI-Generated Image Detection RewardBench
di: Yang, Michael, et al.
Pubblicazione: (2025)

VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving
di: Liu, Yibo, et al.
Pubblicazione: (2024)

Zero-Shot Detection of AI-Generated Images
di: Cozzolino, Davide, et al.
Pubblicazione: (2024)

Spectral Tail Auxiliary Learning for AI-Generated Image Detection
di: Li, Xingyi, et al.
Pubblicazione: (2026)

LOTA: Bit-Planes Guided AI-Generated Image Detection
di: Wang, Hongsong, et al.
Pubblicazione: (2025)

EvoGuard: An Extensible Agentic RL-based Framework for Practical and Evolving AI-Generated Image Detection
di: Zhu, Chenyang, et al.
Pubblicazione: (2026)

Beyond Semantic Features: Pixel-level Mapping for Generalized AI-Generated Image Detection
di: Zhou, Chenming, et al.
Pubblicazione: (2025)

Sketch-to-Architecture: Generative AI-aided Architectural Design
di: Li, Pengzhi, et al.
Pubblicazione: (2024)

Semantic Visual Anomaly Detection and Reasoning in AI-Generated Images
di: Tan, Chuangchuang, et al.
Pubblicazione: (2025)

IncreFA: Breaking the Static Wall of Generative Model Attribution
di: Qin, Haotian, et al.
Pubblicazione: (2026)

Improving Interpretability and Robustness for the Detection of AI-Generated Images
di: Gaintseva, Tatiana, et al.
Pubblicazione: (2024)

Deepfake Geography: Detecting AI-Generated Satellite Images
di: Yerzhanuly, Mansur
Pubblicazione: (2025)

Beyond Deepfake Images: Detecting AI-Generated Videos
di: Vahdati, Danial Samadi, et al.
Pubblicazione: (2024)

Improving Multimodal Hateful Meme Detection Exploiting LMM-Generated Knowledge
di: Tzelepi, Maria, et al.
Pubblicazione: (2025)

Beyond Artifacts: Real-Centric Envelope Modeling for Reliable AI-Generated Image Detection
di: Liu, Ruiqi, et al.
Pubblicazione: (2025)

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection
di: Li, Yiheng, et al.
Pubblicazione: (2026)

Generalizable Detection of AI Generated Images with Large Models and Fuzzy Decision Tree
di: Wu, Fei, et al.
Pubblicazione: (2026)

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective
di: Zhang, Ruixuan, et al.
Pubblicazione: (2025)

Component-aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection
di: Tong, Xuan, et al.
Pubblicazione: (2025)

Component Adaptive Clustering for Generalized Category Discovery
di: Yan, Mingfu, et al.
Pubblicazione: (2025)

FAMSeC: A Few-shot-sample-based General AI-generated Image Detection Method
di: Xu, Juncong, et al.
Pubblicazione: (2024)

Quality-Aware Calibration for AI-Generated Image Detection in the Wild
di: Guillaro, Fabrizio, et al.
Pubblicazione: (2026)

Findings of the Counter Turing Test: AI-Generated Image Detection
di: Roy, Rajarshi, et al.
Pubblicazione: (2026)

A Difference-in-Difference Approach to Detecting AI-Generated Images
di: Qi, Xinyi, et al.
Pubblicazione: (2026)

Handcrafted Feature Fusion for Reliable Detection of AI-Generated Images
di: Nirob, Syed Mehedi Hasan, et al.
Pubblicazione: (2026)

Aggregating Diverse Cue Experts for AI-Generated Image Detection
di: Tan, Lei, et al.
Pubblicazione: (2026)

Multi-Feature Fusion Approach for Generative AI Images Detection
di: Sendjasni, Abderrezzaq, et al.
Pubblicazione: (2026)

Semantic-Aware Reconstruction Error for Detecting AI-Generated Images
di: Kang, Ju Yeon, et al.
Pubblicazione: (2025)

Decoupling Semantics and Fingerprints: A Universal Representation for AI-Generated Image Detection
di: Wang, Zhiyuan, et al.
Pubblicazione: (2026)

When Detectors Forget Forensics: Blocking Semantic Shortcuts for Generalizable AI-Generated Image Detection
di: Shuai, Chao, et al.
Pubblicazione: (2026)